利用激光扫描点云的碳纤维织物表面三维模型重建

织物表面的自动化分析与测量是纺织企业需要解决的重要问题。针对该问题，利用三维激光扫描系统，运用调整照明、分析织物组织循环图和控制扫描范围的方法采集到了高质量、密集的碳纤维织物表面原始点云。对原始点云实施了分类预处理。通过向预处理后的点集中加入点云约束条件和梯度约束条件构建了尺度独立的屏蔽约束条件，重建出了较为理想的碳纤维织物表面三维模型。结果表明，利用重建模型测量纱线宽度的平均测量误差为0.12 mm。

3-D reconstruction of carbon-fiber fabric surface from laser scanning points cloud

Automatic analysis and measurement of fabric surface is an important problem for textile enterprises. To solve this problem, this paper captured high quality and dense original points cloud of carbon-fiber fabric surface using 3D laser scanning system by adjusting illumination, analyzing organization chart and selecting appropriate scanning scope. According to the distribution of the original points cloud, they are classified and preprocessed in different ways. Scale-independent screened constrains including points constrains and gradient constrains are interpolated in the energy equation of preprocessed points set. Ideal 3D model of fabric surface has been reconstructed. The experimental results show that the average error of the width of yarn which is measured on the model is 0.12mm.